Cluster Variables Profile

Dataset statistics

Number of variables	12
Number of observations	661
Missing cells	641
Missing cells (%)	8.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	62.1 KiB
Average record size in memory	96.2 B

Variable types

Categorical	1
Numeric	11

Alerts

`Code` has a high cardinality: 661 distinct values	High cardinality
`QD_M` is highly correlated with `QD_PS` and 6 other fields	High correlation
`QD_PS` is highly correlated with `QD_M` and 6 other fields	High correlation
`QD_L` is highly correlated with `QD_M` and 7 other fields	High correlation
`QD_EH` is highly correlated with `QD_M` and 6 other fields	High correlation
`QD_R` is highly correlated with `QD_M` and 6 other fields	High correlation
`VABS_Com` is highly correlated with `QD_M` and 6 other fields	High correlation
`VABS_Soc` is highly correlated with `QD_M` and 6 other fields	High correlation
`VABS_Aut` is highly correlated with `QD_M` and 6 other fields	High correlation
`ADIR_Soc` is highly correlated with `QD_L`	High correlation
`QD_M` is highly correlated with `QD_PS` and 6 other fields	High correlation
`QD_PS` is highly correlated with `QD_M` and 6 other fields	High correlation
`QD_L` is highly correlated with `QD_M` and 7 other fields	High correlation
`QD_EH` is highly correlated with `QD_M` and 6 other fields	High correlation
`QD_R` is highly correlated with `QD_M` and 6 other fields	High correlation
`VABS_Com` is highly correlated with `QD_M` and 6 other fields	High correlation
`VABS_Soc` is highly correlated with `QD_M` and 6 other fields	High correlation
`VABS_Aut` is highly correlated with `QD_M` and 6 other fields	High correlation
`ADIR_Soc` is highly correlated with `QD_L`	High correlation
`QD_M` is highly correlated with `QD_PS` and 1 other fields	High correlation
`QD_PS` is highly correlated with `QD_M` and 5 other fields	High correlation
`QD_L` is highly correlated with `QD_PS` and 4 other fields	High correlation
`QD_EH` is highly correlated with `QD_PS` and 3 other fields	High correlation
`QD_R` is highly correlated with `QD_M` and 3 other fields	High correlation
`VABS_Com` is highly correlated with `QD_PS` and 4 other fields	High correlation
`VABS_Soc` is highly correlated with `QD_PS` and 3 other fields	High correlation
`VABS_Aut` is highly correlated with `VABS_Com` and 1 other fields	High correlation
`QD_M` is highly correlated with `QD_PS` and 6 other fields	High correlation
`QD_PS` is highly correlated with `QD_M` and 6 other fields	High correlation
`QD_L` is highly correlated with `QD_M` and 7 other fields	High correlation
`QD_EH` is highly correlated with `QD_M` and 6 other fields	High correlation
`QD_R` is highly correlated with `QD_M` and 6 other fields	High correlation
`VABS_Com` is highly correlated with `QD_M` and 7 other fields	High correlation
`VABS_Soc` is highly correlated with `QD_M` and 6 other fields	High correlation
`VABS_Aut` is highly correlated with `QD_M` and 6 other fields	High correlation
`ADIR_Soc` is highly correlated with `QD_L` and 1 other fields	High correlation
`QD_M` has 33 (5.0%) missing values	Missing
`QD_PS` has 33 (5.0%) missing values	Missing
`QD_L` has 21 (3.2%) missing values	Missing
`QD_EH` has 33 (5.0%) missing values	Missing
`QD_R` has 33 (5.0%) missing values	Missing
`VABS_Com` has 137 (20.7%) missing values	Missing
`VABS_Soc` has 135 (20.4%) missing values	Missing
`VABS_Aut` has 137 (20.7%) missing values	Missing
`ADIR_Soc` has 23 (3.5%) missing values	Missing
`ADIR_RRB` has 24 (3.6%) missing values	Missing
`ADIR_AbDev` has 32 (4.8%) missing values	Missing
`Code` is uniformly distributed	Uniform
`Code` has unique values	Unique
`QD_L` has 12 (1.8%) zeros	Zeros
`ADIR_AbDev` has 20 (3.0%) zeros	Zeros

Reproduction

Analysis started	2022-12-16 17:32:30.415681
Analysis finished	2022-12-16 17:32:50.331551
Duration	19.92 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

Code
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	661
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	5.3 KiB

AA1	1
AA650	1
AA705	1
AA548	1
AA561	1
Other values (656)	656

Length

Max length	5
Median length	5
Mean length	4.907715582
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	661 ?
Unique (%)	100.0%

Sample

1st row	AA1
2nd row	AA34
3rd row	AA36
4th row	AA72
5th row	AA91

Common Values

Value	Count	Frequency (%)
AA1	1	0.2%
AA650	1	0.2%
AA705	1	0.2%
AA548	1	0.2%
AA561	1	0.2%
AA566	1	0.2%
AA613	1	0.2%
AA635	1	0.2%
AA583	1	0.2%
AA593	1	0.2%
Other values (651)	651	98.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
aa1	1	0.2%
aa166	1	0.2%
aa36	1	0.2%
aa72	1	0.2%
aa91	1	0.2%
aa2	1	0.2%
aa3	1	0.2%
aa6	1	0.2%
aa7	1	0.2%
aa8	1	0.2%
Other values (651)	651	98.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

QD_M
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	100
Distinct (%)	15.9%
Missing	33
Missing (%)	5.0%
Infinite	0
Infinite (%)	0.0%
Mean	87.17117834

Minimum	28
Maximum	157
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	28
5-th percentile	50
Q1	74
median	89
Q3	101
95-th percentile	118.65
Maximum	157
Range	129
Interquartile range (IQR)	27

Descriptive statistics

Standard deviation	20.60147594
Coefficient of variation (CV)	0.2363335718
Kurtosis	0.04931459745
Mean	87.17117834
Median Absolute Deviation (MAD)	13
Skewness	-0.1979370973
Sum	54743.5
Variance	424.4208107
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
98	20	3.0%
83	18	2.7%
100	17	2.6%
81	16	2.4%
90	14	2.1%
91	14	2.1%
93	14	2.1%
88	14	2.1%
84	13	2.0%
101	13	2.0%
Other values (90)	475	71.9%
(Missing)	33	5.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
28	1	0.2%
29	1	0.2%
35	3	0.5%
37	1	0.2%
38	2	0.3%
39	1	0.2%
40	2	0.3%
41	2	0.3%
43	6	0.9%
44	1	0.2%

Value	Count	Frequency (%)
157	1	0.2%
151	1	0.2%
139	1	0.2%
135	1	0.2%
133	2	0.3%
132	1	0.2%
130	2	0.3%
129	2	0.3%
128	1	0.2%
127	1	0.2%

QD_PS
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	103
Distinct (%)	16.4%
Missing	33
Missing (%)	5.0%
Infinite	0
Infinite (%)	0.0%
Mean	70.34872611

Minimum	19
Maximum	161
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	19
5-th percentile	34
Q1	55
median	71
Q3	86
95-th percentile	104
Maximum	161
Range	142
Interquartile range (IQR)	31

Descriptive statistics

Standard deviation	22.22794515
Coefficient of variation (CV)	0.3159679837
Kurtosis	0.1057248385
Mean	70.34872611
Median Absolute Deviation (MAD)	16
Skewness	0.1665767107
Sum	44179
Variance	494.0815454
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
73	19	2.9%
81	15	2.3%
56	15	2.3%
80	13	2.0%
78	13	2.0%
48	13	2.0%
63	13	2.0%
71	13	2.0%
96	12	1.8%
67	12	1.8%
Other values (93)	490	74.1%
(Missing)	33	5.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
19	1	0.2%
21	2	0.3%
22	2	0.3%
23	2	0.3%
23.5	1	0.2%
26	1	0.2%
27	2	0.3%
28	3	0.5%
29	2	0.3%
30	1	0.2%

Value	Count	Frequency (%)
161	1	0.2%
155	1	0.2%
146	1	0.2%
137	1	0.2%
123	1	0.2%
121	1	0.2%
118	1	0.2%
116	1	0.2%
115	1	0.2%
114	2	0.3%

QD_L
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	126
Distinct (%)	19.7%
Missing	21
Missing (%)	3.2%
Infinite	0
Infinite (%)	0.0%
Mean	63.0078125

Minimum	0
Maximum	158
Zeros	12
Zeros (%)	1.8%
Negative	0
Negative (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	0
5-th percentile	17
Q1	37
median	61
Q3	89
95-th percentile	111.05
Maximum	158
Range	158
Interquartile range (IQR)	52

Descriptive statistics

Standard deviation	32.09359993
Coefficient of variation (CV)	0.5093590565
Kurtosis	-0.6938688201
Mean	63.0078125
Median Absolute Deviation (MAD)	26
Skewness	0.202422355
Sum	40325
Variance	1029.999156
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
30	14	2.1%
76	12	1.8%
0	12	1.8%
50	12	1.8%
61	11	1.7%
92	11	1.7%
42	11	1.7%
72	10	1.5%
79	10	1.5%
44	10	1.5%
Other values (116)	527	79.7%
(Missing)	21	3.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	12	1.8%
8	1	0.2%
10	1	0.2%
11	2	0.3%
12	2	0.3%
12.5	1	0.2%
13	4	0.6%
14	2	0.3%
15	2	0.3%
16	1	0.2%

Value	Count	Frequency (%)
158	1	0.2%
152	1	0.2%
150	1	0.2%
149	1	0.2%
144	1	0.2%
140	1	0.2%
138	2	0.3%
136	1	0.2%
131	1	0.2%
128	1	0.2%

QD_EH
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	114
Distinct (%)	18.2%
Missing	33
Missing (%)	5.0%
Infinite	0
Infinite (%)	0.0%
Mean	74.62340764

Minimum	15
Maximum	150
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	15
5-th percentile	32.35
Q1	54
median	77
Q3	94.25
95-th percentile	113.65
Maximum	150
Range	135
Interquartile range (IQR)	40.25

Descriptive statistics

Standard deviation	25.98411323
Coefficient of variation (CV)	0.3482032521
Kurtosis	-0.619877287
Mean	74.62340764
Median Absolute Deviation (MAD)	20
Skewness	-0.02261952787
Sum	46863.5
Variance	675.1741402
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
82	15	2.3%
92	13	2.0%
100	12	1.8%
81	12	1.8%
57	11	1.7%
101	11	1.7%
72	11	1.7%
108	11	1.7%
76	11	1.7%
44	10	1.5%
Other values (104)	511	77.3%
(Missing)	33	5.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
15	1	0.2%
18	2	0.3%
19	2	0.3%
20	1	0.2%
21	1	0.2%
22	2	0.3%
24	1	0.2%
25	1	0.2%
25.5	1	0.2%
28	5	0.8%

Value	Count	Frequency (%)
150	1	0.2%
149	1	0.2%
144	1	0.2%
140	1	0.2%
135	1	0.2%
133	1	0.2%
130	1	0.2%
129	1	0.2%
128	3	0.5%
127	1	0.2%

QD_R
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	121
Distinct (%)	19.3%
Missing	33
Missing (%)	5.0%
Infinite	0
Infinite (%)	0.0%
Mean	81.78264331

Minimum	14
Maximum	166
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	14
5-th percentile	35.35
Q1	61
median	82
Q3	100
95-th percentile	127
Maximum	166
Range	152
Interquartile range (IQR)	39

Descriptive statistics

Standard deviation	27.32016976
Coefficient of variation (CV)	0.3340582874
Kurtosis	-0.4271409042
Mean	81.78264331
Median Absolute Deviation (MAD)	19
Skewness	0.05279084141
Sum	51359.5
Variance	746.3916759
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
72	13	2.0%
81	13	2.0%
82	13	2.0%
89	13	2.0%
78	13	2.0%
100	12	1.8%
92	12	1.8%
84	12	1.8%
80	10	1.5%
96	10	1.5%
Other values (111)	507	76.7%
(Missing)	33	5.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
14	1	0.2%
18	1	0.2%
20	1	0.2%
25	2	0.3%
26	2	0.3%
27	1	0.2%
28	3	0.5%
29	1	0.2%
31	2	0.3%
32	4	0.6%

Value	Count	Frequency (%)
166	1	0.2%
155	1	0.2%
150	1	0.2%
148	2	0.3%
143	1	0.2%
142	1	0.2%
140	1	0.2%
138	2	0.3%
137	2	0.3%
136	2	0.3%

VABS_Com
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	92
Distinct (%)	17.6%
Missing	137
Missing (%)	20.7%
Infinite	0
Infinite (%)	0.0%
Mean	63.79770992

Minimum	20
Maximum	121
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	20
5-th percentile	20
Q1	48
median	65
Q3	80
95-th percentile	96.85
Maximum	121
Range	101
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	22.34522107
Coefficient of variation (CV)	0.350251147
Kurtosis	-0.6024498023
Mean	63.79770992
Median Absolute Deviation (MAD)	16
Skewness	-0.1881658652
Sum	33430
Variance	499.3089049
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20	33	5.0%
62	15	2.3%
80	14	2.1%
79	14	2.1%
74	12	1.8%
75	11	1.7%
92	11	1.7%
85	11	1.7%
77	11	1.7%
44	10	1.5%
Other values (82)	382	57.8%
(Missing)	137	20.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
20	33	5.0%
21	1	0.2%
24	3	0.5%
25	2	0.3%
26	2	0.3%
27	4	0.6%
28	2	0.3%
29	3	0.5%
30	1	0.2%
31	2	0.3%

Value	Count	Frequency (%)
121	1	0.2%
118	1	0.2%
114	1	0.2%
113	1	0.2%
112	1	0.2%
108	1	0.2%
107	2	0.3%
106	2	0.3%
105	1	0.2%
104	1	0.2%

VABS_Soc
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	72
Distinct (%)	13.7%
Missing	135
Missing (%)	20.4%
Infinite	0
Infinite (%)	0.0%
Mean	66.18441065

Minimum	20
Maximum	106
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	20
5-th percentile	31
Q1	55
median	67
Q3	78
95-th percentile	94
Maximum	106
Range	86
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	17.54315019
Coefficient of variation (CV)	0.2650646884
Kurtosis	0.4238156378
Mean	66.18441065
Median Absolute Deviation (MAD)	11
Skewness	-0.5099935713
Sum	34813
Variance	307.7621184
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20	20	3.0%
78	18	2.7%
58	17	2.6%
69	17	2.6%
71	16	2.4%
68	16	2.4%
64	16	2.4%
52	14	2.1%
66	14	2.1%
73	14	2.1%
Other values (62)	364	55.1%
(Missing)	135	20.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
20	20	3.0%
22	2	0.3%
24	2	0.3%
28	1	0.2%
31	3	0.5%
34	1	0.2%
35	1	0.2%
36	1	0.2%
38	1	0.2%
40	4	0.6%

Value	Count	Frequency (%)
106	1	0.2%
104	2	0.3%
101	1	0.2%
100	1	0.2%
99	1	0.2%
97	5	0.8%
96	4	0.6%
95	8	1.2%
94	5	0.8%
93	7	1.1%

VABS_Aut
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	76
Distinct (%)	14.5%
Missing	137
Missing (%)	20.7%
Infinite	0
Infinite (%)	0.0%
Mean	60.46564885

Minimum	20
Maximum	111
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	20
5-th percentile	20
Q1	51
median	63
Q3	75
95-th percentile	87
Maximum	111
Range	91
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	19.40010357
Coefficient of variation (CV)	0.3208450407
Kurtosis	-0.2258103218
Mean	60.46564885
Median Absolute Deviation (MAD)	12
Skewness	-0.5771709256
Sum	31684
Variance	376.3640185
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20	44	6.7%
64	19	2.9%
75	17	2.6%
72	15	2.3%
63	15	2.3%
66	14	2.1%
60	14	2.1%
54	14	2.1%
79	13	2.0%
62	13	2.0%
Other values (66)	346	52.3%
(Missing)	137	20.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
20	44	6.7%
22	1	0.2%
23	1	0.2%
24	3	0.5%
25	2	0.3%
26	1	0.2%
27	1	0.2%
28	2	0.3%
29	3	0.5%
30	1	0.2%

Value	Count	Frequency (%)
111	1	0.2%
102	1	0.2%
101	1	0.2%
97	2	0.3%
96	1	0.2%
95	2	0.3%
94	1	0.2%
93	1	0.2%
91	4	0.6%
89	4	0.6%

ADIR_Soc
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	30
Distinct (%)	4.7%
Missing	23
Missing (%)	3.5%
Infinite	0
Infinite (%)	0.0%
Mean	18.97335423

Minimum	0
Maximum	30
Zeros	1
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	0
5-th percentile	10
Q1	14
median	19
Q3	25
95-th percentile	29
Maximum	30
Range	30
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	6.519930442
Coefficient of variation (CV)	0.3436361522
Kurtosis	-0.903112607
Mean	18.97335423
Median Absolute Deviation (MAD)	5
Skewness	-0.05696923026
Sum	12105
Variance	42.50949297
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
16	41	6.2%
28	37	5.6%
11	37	5.6%
14	36	5.4%
22	35	5.3%
13	34	5.1%
26	34	5.1%
15	32	4.8%
17	32	4.8%
10	31	4.7%
Other values (20)	289	43.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	0.2%
1	1	0.2%
2	2	0.3%
4	1	0.2%
5	2	0.3%
6	2	0.3%
7	8	1.2%
8	5	0.8%
9	6	0.9%
10	31	4.7%

Value	Count	Frequency (%)
30	29	4.4%
29	16	2.4%
28	37	5.6%
27	15	2.3%
26	34	5.1%
25	30	4.5%
24	30	4.5%
23	28	4.2%
22	35	5.3%
21	24	3.6%

ADIR_RRB
Real number (ℝ_≥0)

MISSING

Distinct	14
Distinct (%)	2.2%
Missing	24
Missing (%)	3.6%
Infinite	0
Infinite (%)	0.0%
Mean	4.485086342

Minimum	0
Maximum	23
Zeros	6
Zeros (%)	0.9%
Negative	0
Negative (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	3
median	4
Q3	6
95-th percentile	8
Maximum	23
Range	23
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.000435613
Coefficient of variation (CV)	0.4460194209
Kurtosis	11.71046292
Mean	4.485086342
Median Absolute Deviation (MAD)	1
Skewness	1.899872272
Sum	2857
Variance	4.001742642
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
3	178	26.9%
4	162	24.5%
5	91	13.8%
6	74	11.2%
8	35	5.3%
7	35	5.3%
2	29	4.4%
1	10	1.5%
9	6	0.9%
10	6	0.9%
Other values (4)	11	1.7%
(Missing)	24	3.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	6	0.9%
1	10	1.5%
2	29	4.4%
3	178	26.9%
4	162	24.5%
5	91	13.8%
6	74	11.2%
7	35	5.3%
8	35	5.3%
9	6	0.9%

Value	Count	Frequency (%)
23	1	0.2%
12	2	0.3%
11	2	0.3%
10	6	0.9%
9	6	0.9%
8	35	5.3%
7	35	5.3%
6	74	11.2%
5	91	13.8%
4	162	24.5%

ADIR_AbDev
Real number (ℝ_≥0)

MISSING
ZEROS

Distinct	8
Distinct (%)	1.3%
Missing	32
Missing (%)	4.8%
Infinite	0
Infinite (%)	0.0%
Mean	4.027027027

Minimum	0
Maximum	25
Zeros	20
Zeros (%)	3.0%
Negative	0
Negative (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	4
Q3	5
95-th percentile	5
Maximum	25
Range	25
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.562162341
Coefficient of variation (CV)	0.3879195075
Kurtosis	51.4978199
Mean	4.027027027
Median Absolute Deviation (MAD)	1
Skewness	2.994692219
Sum	2533
Variance	2.440351179
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
5	295	44.6%
4	161	24.4%
3	87	13.2%
2	33	5.0%
1	26	3.9%
0	20	3.0%
6	6	0.9%
25	1	0.2%
(Missing)	32	4.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	20	3.0%
1	26	3.9%
2	33	5.0%
3	87	13.2%
4	161	24.4%
5	295	44.6%
6	6	0.9%
25	1	0.2%

Value	Count	Frequency (%)
25	1	0.2%
6	6	0.9%
5	295	44.6%
4	161	24.4%
3	87	13.2%
2	33	5.0%
1	26	3.9%
0	20	3.0%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Code	QD_M	QD_PS	QD_L	QD_EH	QD_R	VABS_Com	VABS_Soc	VABS_Aut	ADIR_Soc	ADIR_RRB	ADIR_AbDev
0	AA1	47.0	35.0	13.0	28.0	38.0	NaN	NaN	NaN	28.0	9.0	2.0
1	AA34	43.0	27.0	18.0	25.0	31.0	NaN	NaN	NaN	30.0	8.0	5.0
2	AA36	52.0	35.0	8.0	31.0	45.0	NaN	NaN	NaN	30.0	8.0	5.0
3	AA72	29.0	21.0	23.0	21.0	20.0	NaN	NaN	NaN	26.0	4.0	5.0
4	AA91	28.0	19.0	11.0	18.0	26.0	NaN	NaN	NaN	28.0	8.0	4.0
5	AA2	71.0	43.0	30.0	38.0	42.0	20.0	20.0	20.0	27.0	4.0	1.0
6	AA3	62.0	38.0	28.0	47.0	38.0	NaN	NaN	NaN	30.0	5.0	3.0
7	AA6	93.0	87.0	74.0	55.0	84.0	40.0	50.0	54.0	13.0	3.0	4.0
8	AA7	97.0	70.0	39.0	51.0	80.0	20.0	41.0	20.0	24.0	4.0	3.0
9	AA8	43.0	29.0	22.0	29.0	14.0	NaN	NaN	NaN	29.0	4.0	5.0

Last rows

	Code	QD_M	QD_PS	QD_L	QD_EH	QD_R	VABS_Com	VABS_Soc	VABS_Aut	ADIR_Soc	ADIR_RRB	ADIR_AbDev
651	AA906	NaN	NaN	0.0	NaN	NaN	62.0	66.0	58.0	21.0	5.0	5.0
652	AA903	88.0	58.0	35.0	63.0	100.0	NaN	NaN	NaN	9.0	5.0	2.0
653	AA900	89.0	78.0	47.0	92.0	78.0	NaN	NaN	NaN	11.0	3.0	5.0
654	AA922	98.0	90.0	95.0	92.0	95.0	69.0	72.0	69.0	7.0	5.0	4.0
655	AA904	73.0	52.0	42.0	69.0	69.0	66.0	68.0	67.0	NaN	NaN	NaN
656	AA927	76.0	55.0	84.0	81.0	84.0	79.0	74.0	79.0	NaN	NaN	NaN
657	AA938	97.0	73.0	65.0	77.0	97.0	78.0	68.0	77.0	11.0	3.0	NaN
658	AA934	58.0	40.0	20.0	31.0	34.0	47.0	63.0	55.0	10.0	3.0	25.0
659	AA942	115.0	85.0	47.0	89.0	85.0	63.0	77.0	69.0	NaN	NaN	NaN
660	AA837	80.0	62.0	64.0	83.0	83.0	72.0	59.0	58.0	15.0	3.0	5.0

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Phik (φk)

Missing values

Sample

First rows

Last rows